Abstract: The present invention relates a novel system and method for person identification and personality assessment based on electroencephalography (EEG) signal. More particularly, this invention relates to a novel method of EEG recording and processing to map the inherent and unique properties of brain in the form of highly specific brain signature to be used as means for person identification and personality assessment.

Abstract: The present invention relates to an image analysis method for providing information for supporting illness development prediction regarding a neoplasm in a human or animal body. The method includes receiving for the neoplasm first and second image data at a first and second moment in time, and deriving for a plurality of image features a first and a second image feature parameter value from the first and second image data. These feature parameter values being a quantitative representation of a respective image feature. Further, calculating an image feature difference value by calculating a difference between the first and second image feature parameter value, and based on a prediction model deriving a predictive value associated with the neoplasm for supporting treatment thereof. The prediction model includes a plurality of multiplier values associated with image features.

Abstract: An image processing method includes: determining chrominance information and luminance information of an input color image; iteratively solving one or more equations to obtain bases of the luminance and modulation weights of a plurality of basis element frames of the input color image based on the luminance information; determining bases of the chrominance of the basis element frames based on the modulation weights and the chrominance information; and converting the bases of the luminance and the bases of the chrominance of the basis element frames into an output image.

Abstract: An MFP receives destination information indicating a folder in a file server from a user and can register the destination information in an address book, and the MFP determines whether a connection with a file server using the destination information can be established after destination information is received but before the destination information is registered in the address book, and notifies a user of a determination result.

Abstract: A set of first modality data is provided to an intra-reconstruction motion correction method. The set of first modality data includes a plurality of views. A set of second modality data is provided to the method. A motion estimate is generated for each of the plurality of views in the set of first modality data by registering the set of first modality data with the set of second modality data. A motion corrected model of the set of first modality data is generated by a forward projection including the motion estimate.

Abstract: A signal processing device 6 is connected to an endoscope 2 that examines a subject and outputs a signal in accordance with a result of the examination. The signal processing device 6 includes a plurality of internal modules 61 to 64 that process the signal output from the endoscope 2. The internal modules 61 to 64 are connected via an interface supporting a communication protocol and having a connector geometry, at least the communication protocol or both communication protocol and connector geometry conforming to a communication interface standard.

Abstract: A system of selecting a keyframe for iterative closest point (ICP) includes a reference frame selector that generates a reference frame according to a current frame and a current keyframe; an ICP loop unit that performs ICP on the reference frame and the current frame, thereby generating a pose of the current frame; and a keyframe update unit that generates a new keyframe according to an offset condition between the pose of the current frame and a pose of the reference frame.

Abstract: A training method and a training apparatus for a neutral network for image recognition are provided. The method includes: representing a sample image as a point set in a high-dimensional space, a size of the high-dimensional space being a size of space domain of the sample image multiplied by a size of intensity domain of the sample image; generating a first random perturbation matrix having a same size as the high-dimensional space; smoothing the first random perturbation matrix; perturbing the point set in the high-dimensional space using the smoothed first random perturbation matrix to obtain a perturbed point set; and training the neutral network using the perturbed point set as a new sample. With the training method and the training apparatus, classification performance of a conventional convolutional neural network is improved, thereby generating more training samples, reducing influence of overfitting, and enhancing generalization performance of the convolutional neural network.

Abstract: In some examples, target object color analysis and tagging may include ascertaining an attribute of an image, and determining, based on the ascertained attribute, a target object that is to be identified and color tagged in the image. Based on a learning model, a plurality of objects may be extracted from the image. Based on a comparison of the target object and the plurality of extracted objects, the target object may be identified in the image. Color information may be extracted from the identified target object, and a plurality of color tags associated with the identified target object may be ascertained. A plurality of color distances may be determined between the color information and the plurality of color tags. Based on a determination of a minimum color distance from the plurality of color distances, a color tag that is to be assigned to the identified target object may be determined.

Abstract: One embodiment of the present solution is a relationship-based video server system. The server system is programmed to provide a platform for large scale video search based on relationships between objects in video segments, and the platform executes search based on probabilistically discriminative objects and relationships.

Abstract: A document authentication system is configured to support enhanced services with advanced security features within a document and by linking information embedded in the document with a secure infrastructure.

Abstract: According to one embodiment, a code recognition device includes a reader, a processor for region detection, for first extraction, and for second extraction. The reader photographs a code image. The processor detects a code region and a letter region included in the code image from the code image photographed by the reader. The processor extracts first code information indicating the code image from the code region. The processor also extracts second code information indicating the code image from the letter region.

Abstract: An image forming apparatus that causes a user's will concerning which of a communication speed and power saving efficiency is given priority to be reflected on determination of a power saving mode. In shifting the apparatus to a power saving mode, a first setting inhibits disconnection of a communication link and a second setting indicates changing communication speed to a lower speed. One of the first and second settings is made according to a user's instruction. In the first setting, the apparatus is shifted to a first power saving mode. In the second setting, the apparatus is shifted to a second power saving mode. When the apparatus is shifted to the first power saving mode, the communication link is not disconnected. When the apparatus is shifted to the second power saving mode, the communication speed of the apparatus is changed to the lower speed.

Abstract: In the image processing device, method and system of the present invention, a destination identifier of an image file is stored, the destination identifier indicating one of a plurality of external stations as a destination station which receives the image file from the image processing device through a network. At least one of a sender identifier of the image file, a subject identifier of the image file and a scan condition of the image file is stored. The image file is transmitted, together with at least one of the sender identifier, the subject identifier and the scan condition, through the network to one of the external stations indicated by the stored destination identifier.

Abstract: Apparatus and associated methods relate to using an image of a fiducial located indicating a parking location for the aircraft to provide docking guidance data to a pilot of an aircraft. The fiducial has vertically-separated indicia and laterally-separated indicia. A camera is configured to mount at a camera location so as to be able to capture two-dimensional images of a scene external to the aircraft. The two-dimensional image includes pixel data generated by the two-dimensional array of light-sensitive pixels. A digital processor identifies first and second sets of pixel coordinates corresponding to the two vertically-separated and the two laterally-separated indicia, respectively. The digital processor then calculates, based at least in part on the identified first pixel coordinates corresponding to the two vertically-separated indicia, a range to the parking location.

Abstract: The disclosure discloses a method and apparatus for protecting an image based on face recognition, the method including: recognizing, by a smart terminal, at least one face image in an image; setting, by the smart terminal, a protection flag for the image, and storing the image, upon determining that one of the at least one face image in the image matches successfully with one of face images in a protection list stored in the smart terminal, wherein the protection flag is configured to protect the image from accidental deletion.

Abstract: Provided are a method and program for computing a bone age using a deep neural network. The method for computing a bone age using a deep neural network, including: receiving an analysis target image that is a specific medical image to compute the bone age; and analyzing the analysis target image by at least one computer using the deep neural network to compute the bone age. According to the present disclosure, since the bone age is computed by accumulating medical images of a specific race (particularly, Korean) and analyzing the same, it is possible to compute an accurate bone age that conforms to race.

Abstract: Systems and methods are described where odometry information that is obtained from a video camera mounted on an underwater vehicle is used to estimate the velocity of the underwater vehicle. The techniques described herein estimate the velocity of the underwater vehicle passively without emitting sound or other energy from the underwater vehicle.

Abstract: In a video frame processing system, a feature extractor generates, based on a plurality of data sets corresponding to a plurality of frames of a video, a plurality of feature sets, respective ones of the feature sets including features extracted from respective ones of the data sets. A first stage of the feature aggregator generates a kernel for a second stage of the feature aggregator. The kernel is adapted to content of the feature sets so as to emphasize desirable ones of the feature sets and deemphasize undesirable ones of the feature sets. In the second stage of the feature aggregator the kernel generated by the first stage is applied to the plurality of feature sets to generate a plurality of significances corresponding to the plurality of feature sets. The feature sets are weighted based on corresponding significances and weighted feature sets are aggregated to generate an aggregated feature set.

Abstract: The present invention relates to a method and system for image synthesis. According to a first aspect of the present invention, an image synthesis system for providing a method for image synthesis may include: a first foreground unit configured to receive a predetermined region that is selected from a source image, including an object, as a first foreground by a user; a similarity determination unit configured to calculate the similarity between each of the first foreground and the background distinct from the first foreground on the source image and each pixel included in the source image; a second foreground unit configured to determine a second foreground, including the remaining pixels excluding pixels, included in each of the first foreground and the background, from the source image, based on the calculated similarity; and an image synthesis unit configured to combine the first foreground and the second foreground with a ground image.